Jason Bossert

Jason Bossert

Data Scientist

Biography

Jason Bossert is a data scientist and physicist living and working in Boulder, Colorado. He builds statistical models to explore the underlying reasons for complex social phenomona such as voting preference and disease spread. Jason’s latest project focuses on taking a principled approach to modeling the COVID-19 pandemic in the US using Bayesian statistics.

As a physicist, Jason has a passion for tying experimental data together with theory to create a complete narrative. Working as an experimentalist he built novel table-top experiements to probe the quantum nature of chemical reactions and developed new computational models that shed light on old questions, leading to multiple peer-reviewed publications. Driven by his passion for drawing insightful conclusions from data, Jason takes pride in his structured aproach to data collection, cleaning, and analysis.

Email: jbossert3@gmail.com

Resume available on request.

Interests
  • Machine Learning
  • Causal Inference
  • Bayesian Statistics
  • Geospatial Modeling
Education

  • MS in Physics, 2018

    University of Colorado Boulder

  • BS in Physics, 2014

    University of California Santa Barbara

Experience

 
 
 
 
 
Research Assistant
University of Colorado
Jan 2016 – Dec 2019 Boulder, Colorado
Worked with a team to develop state-of-the-art tools and techniques to cool and manipulate moluecules to better understand chemical reactions on the quantum scale.
 
 
 
 
 
Teaching Assistant
University of Colorado
Aug 2015 – Dec 2015 Boulder, Colorado
Taught recitations, graded homework, and proctored exams for an introductiory undergraduate mechanics class.
 
 
 
 
 
Researcher
Center for Integrated Nanotechnnologies at Los Alamos National Laboratory
Oct 2014 – Jul 2015 Los Alamos, New Mexico
Fabricated and analyzed nanostructured thin films with induced strain with potential applications in creating novel nanosensors and digital storage devices.
 
 
 
 
 
Fellow
Los Alamos Dynamics Summer School
Jun 2014 – Sep 2014 Los Alamos, New Mexico
Led a team of three to design hardware and software to deliver a prototype tamper-evident seal in less than ten weeks.
 
 
 
 
 
Summer Student Researcher
Los Alamos National Laboratory
Jun 2009 – Sep 2013 Los Alamos, New Mexico
Developed computational tools to look at high-order spatial correlations in the wake of wind turbines.